Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61490
Title: ILNCSIM : improved lncRNA functional similarity calculation model
Authors: Huang, YA
Chen, X
You, ZH
Huang, DS
Chan, KCC 
Keywords: Cancer
Directed acyclic graph
Disease
Functional similarity
LncRNAs
Issue Date: 2016
Publisher: Impact Journals LLC
Source: Oncotarget, 2016, v. 7, no. 18, p. 25902-25914 How to cite?
Journal: Oncotarget 
Abstract: Increasing observations have indicated that lncRNAs play a significant role in various critical biological processes and the development and progression of various human diseases. Constructing lncRNA functional similarity networks could benefit the development of computational models for inferring lncRNA functions and identifying lncRNA-disease associations. However, little effort has been devoted to quantifying lncRNA functional similarity. In this study, we developed an Improved LNCRNA functional SIMilarity calculation model (ILNCSIM) based on the assumption that lncRNAs with similar biological functions tend to be involved in similar diseases. The main improvement comes from the combination of the concept of information content and the hierarchical structure of disease directed acyclic graphs for disease similarity calculation. ILNCSIM was combined with the previously proposed model of Laplacian Regularized Least Squares for lncRNA-Disease Association to further evaluate its performance. As a result, new model obtained reliable performance in the leave-one-out cross validation (AUCs of 0.9316 and 0.9074 based on MNDR and Lnc2cancer databases, respectively), and 5-fold cross validation (AUCs of 0.9221 and 0.9033 for MNDR and Lnc2cancer databases), which significantly improved the prediction performance of previous models. It is anticipated that ILNCSIM could serve as an effective lncRNA function prediction model for future biomedical researches.
URI: http://hdl.handle.net/10397/61490
ISSN: 1949-2553
DOI: 10.18632/oncotarget.8296
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

22
Last Week
2
Last month
Citations as of Sep 19, 2017

WEB OF SCIENCETM
Citations

22
Last Week
0
Last month
Citations as of Sep 21, 2017

Page view(s)

31
Last Week
1
Last month
Checked on Sep 24, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.